AskHandle MCP for AI. Manage customer data and conversation context.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Connect to your AI in seconds.
AskHandle gives your AI agent control over customer support operations. It connects directly to chat rooms, allowing you to capture visitor data and manage message threads without manual copy-pasting.
Use it to create new leads, track conversations, send follow-up messages, and set up webhooks for automated actions.
What your AI can do
Create lead
Creates a new contact record from conversation data.
Create room
Sets up an entirely new chat room session.
Create webhook
Registers a new external endpoint that gets notified of system events.
The agent creates a structured record for a potential customer based on the conversation data.
You can create, list, and get detailed information about active chat rooms.
The agent sends a message directly into an existing chat room for follow-up or clarification.
It pulls the full thread of messages, optionally filtering by a specific chat room ID.
You can create and delete webhook subscriptions to trigger external actions when key events occur in the support system.
Ask an AI about this
Waiting for input…
AskHandle - 12 Tools for Customer Support
These tools let your agent handle everything from creating new records to reading detailed message histories and automating data flow across systems.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using AskHandle on VinkiusCreate Lead
Creates a new contact record from conversation data.
Create Room
Sets up an entirely new chat room session.
Create Webhook
Registers a new external endpoint that gets notified of system events.
Delete Webhook
Removes an existing webhook subscription after it's no longer needed.
Get Me
Verifies the connection status and retrieves account-level information.
List Leads
Fetches a list of all leads captured in the system.
List Messages
Retrieves messages, with an option to filter results by a specific room ID.
List Rooms
Lists all current chat rooms in the system.
List Webhooks
Provides a list of all configured webhook subscriptions.
Retrieve Lead
Gets detailed information for one specific lead using its ID.
Retrieve Room
Retrieves the full details of a single chat room.
Send Message
Sends outbound text to an active chat room.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The AskHandle integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with AskHandle, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AskHandle. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 12 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
The manual process of capturing customer context sucks.
Right now, when a chat ends, someone has to manually copy the lead's name and email address from the chat window. They then have to open the CRM, find the right form, and paste that data in. If they miss a field or forget to do it, the sales team loses time and context.
With this MCP, your agent takes care of that handoff. Instead of copy-pasting anything, you simply trigger the `create_lead` tool. The system reads the necessary details from the conversation flow and structures them into a clean record automatically.
AskHandle gives you full control over your chat history.
Before, checking on an old support query meant opening a separate tab or logging into another system to find the conversation thread. It was slow and required context switching.
Now, using `list_messages` lets you pull those messages directly through your agent client. You get the history instantly without leaving your main workspace. It's just faster.
What your AI can actually do with this
This MCP lets your agent handle the messy parts of customer interaction. Instead of having to manually check multiple dashboards or switch between messaging platforms just to grab a lead's name, you can let your AI client do it all in one go. It manages the lifecycle: from capturing initial visitor details to organizing chat rooms and sending follow-up messages.
The agent uses this connection to read conversation history, list existing leads, and even set up webhooks so that when a specific event happens—like a room being closed or a lead reaching certain criteria—a webhook fires off the data automatically. You'll find all these tools centralized on Vinkius, letting your agent interact with chat rooms and message queues directly.
It’s basically giving your AI client hands in the field: they can now create new records for sales follow-up, retrieve detailed account context for troubleshooting, or simply list every active room to give you an overview of where things stand.
019dd0bc-9e94-72d8-8918-2b5282a507e8 
Here's how it actually works
The bottom line is: your AI client reads the necessary API endpoints to execute actions or retrieve context based on your natural language prompt.
The agent first checks its connectivity using get_me to confirm it has access to your account context.
Next, you instruct the agent to retrieve data, perhaps calling list_rooms to see what sessions are active, or running list_leads for a summary of captured contacts.
Finally, if the goal is action, the agent might call send_message with specific content and a target room ID.
Who is this actually for?
This MCP is for Ops Engineers, Sales Operations Managers, and Technical Support Leads. If you're tired of copy-pasting lead details from chat logs into a CRM or manually checking 15 different dashboard tabs just to get the current status on a client, this is what you need.
They use it to pull message history and list rooms quickly; they don't want to waste time navigating multiple internal tools when troubleshooting an issue.
They set up webhooks and manage leads, ensuring that every conversation generates a usable data record for follow-up without human intervention.
They use it to list all chat rooms and retrieve lead details across different campaigns, helping them identify conversion bottlenecks in the user flow.
What Changes When You Connect
Stop losing track of leads. By using list_leads or retrieve_lead, your agent instantly gives you a clear inventory of every potential client captured, so nothing slips through the cracks.
Never manually update CRM records again. Calling create_lead ensures that conversation data is immediately transformed into actionable sales records, keeping your pipeline current.
Maintain context across threads. If you need to know what was said three days ago, running list_messages and filtering by room ID pulls the full history without guesswork.
Automate follow-up actions. You can set up a webhook using create_webhook. For example, when a chat room status changes, an external system gets notified instantly.
Know your scope immediately. The agent's ability to execute get_me confirms connectivity and gives you the necessary account context before any major operation runs.
See it in action
Following up on a chat session
A sales rep needs to follow up with 'Acme Corp' after they left the support chat. Instead of asking an employee to manually look through logs, the agent calls list_rooms to find the ID and then uses send_message to send a targeted follow-up message.
Weekly lead cleanup
The marketing ops team needs to validate all leads captured last week. The agent runs list_leads, finds records that are missing key data, and then uses retrieve_lead on those specific IDs for manual review.
Implementing a notification system
The engineering team needs to know when a support room is closed. They use create_webhook, pointing it to an internal alert service, so the webhook triggers exactly when the event happens.
Onboarding new agents
A new agent needs to see all active projects. The agent runs list_rooms and can also use retrieve_room to get deep context on any single, complex session for training purposes.
The honest tradeoffs
Assuming simple read-only access
A user thinks they just need to view all messages, so they try to build a tool that only calls list_messages but forgets about the necessary room context.
Don't forget state management. Always check for specific identifiers first. If you need the full details of one conversation, call retrieve_room. To get general data, use list_rooms; to drill down, use list_messages with a filter.
Over-relying on manual data entry
The team captures lead info and then manually copies the name into an external spreadsheet, risking human error or delay.
Let your agent handle the handoff. Immediately run create_lead as soon as a conversation ends. This ensures structured, automated capture and minimizes technical debt.
Ignoring necessary cleanup
The team sets up temporary webhooks for testing but never cleans them up, leading to billing issues or stale data processing.
Always pair creation with deletion. Use create_webhook when setting it up, and always run delete_webhook when the test is done.
When It Fits, When It Doesn't
Use this MCP if your workflow requires multi-step state management: reading context (e.g., listing rooms) and then writing data (e.g., sending a message or creating a lead). It’s perfect for automating the handoff of customer conversation data into structured systems.
Don't use it if you only need to read one single piece of static information, like just viewing all leads. In that case, calling list_leads is enough. But if your goal involves follow-through or automation—if you gotta send a message or trigger an external system—you need the full suite of tools here.
Questions you might have
How do I list all active chat rooms with AskHandle MCP? +
You call list_rooms. This tool returns a list of every room currently managed by your account, giving you an instant overview of ongoing support sessions.
Can I send messages using the create_room or send_message tools? +
The agent uses send_message to post text into a room. You need to know the specific room ID first, which you can get by calling list_rooms.
What is the difference between list_leads and retrieve_lead? +
list_leads gives you an array of all lead records. Use retrieve_lead when you already have a specific lead ID and need its full, detailed record.
How do I set up webhooks with AskHandle MCP? +
You use the create_webhook tool, providing the target URL and defining the event trigger. Remember to run list_webhooks later if you need to manage or delete them.
What does `get_me` do to check my API connection before running other commands? +
It confirms your API access status and returns core account context. Running this first verifies connectivity, making sure all subsequent tools like create_lead or list_rooms will work without hitting an authentication error.
How do I use `delete_webhook` to clean up old subscriptions? +
You provide the unique ID of the webhook you want gone. This process removes the subscription entirely, preventing your AI client from sending messages or data updates to an outdated endpoint.
If I use `list_messages`, can I filter results by a specific chat room? +
Yes, you specify the room ID in the parameters. This lets you narrow down conversation history and pull messages only from one session, which is way better than getting a massive dump of unrelated data.
What kind of details can I get using `retrieve_room`? +
This tool pulls deep metadata for a single chat room. You'll get information like its exact creation date, last active user, and unique identifiers—all the context you need to verify a session.
What are 'Rooms' in AskHandle? +
Rooms represent chat sessions or conversation contexts between a user and an AI agent.
How are leads captured? +
Leads can be captured automatically by your AI agent during a conversation or created programmatically via the API.
Is it possible to manage webhooks directly from the chat? +
Yes, you can register new webhooks to receive real-time notifications about events in AskHandle directly using the AI.
We've already built the connector for AskHandle. Just plug in your AI agents and start using Vinkius.
No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting.
You're up and running in seconds.
Gemini Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.
Built, hosted, and secured by Vinkius. You just connect and go.